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      Weighing stars from birth to death: mass determination methods across the HRD

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          Gaia Data Release 2

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            Observation of Gravitational Waves from a Binary Black Hole Merger

            On September 14, 2015 at 09:50:45 UTC the two detectors of the Laser Interferometer Gravitational-Wave Observatory simultaneously observed a transient gravitational-wave signal. The signal sweeps upwards in frequency from 35 to 250 Hz with a peak gravitational-wave strain of 1.0×10(-21). It matches the waveform predicted by general relativity for the inspiral and merger of a pair of black holes and the ringdown of the resulting single black hole. The signal was observed with a matched-filter signal-to-noise ratio of 24 and a false alarm rate estimated to be less than 1 event per 203,000 years, equivalent to a significance greater than 5.1σ. The source lies at a luminosity distance of 410(-180)(+160)  Mpc corresponding to a redshift z=0.09(-0.04)(+0.03). In the source frame, the initial black hole masses are 36(-4)(+5)M⊙ and 29(-4)(+4)M⊙, and the final black hole mass is 62(-4)(+4)M⊙, with 3.0(-0.5)(+0.5)M⊙c(2) radiated in gravitational waves. All uncertainties define 90% credible intervals. These observations demonstrate the existence of binary stellar-mass black hole systems. This is the first direct detection of gravitational waves and the first observation of a binary black hole merger.
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              GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                The Astronomy and Astrophysics Review
                Astron Astrophys Rev
                Springer Science and Business Media LLC
                0935-4956
                1432-0754
                December 2021
                May 26 2021
                December 2021
                : 29
                : 1
                Article
                10.1007/s00159-021-00132-9
                f2c974cf-43b2-4070-a713-8151c741e23e
                © 2021

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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